---
title: "Educational Data Science Capstone Project"
output: 
  flexdashboard::flex_dashboard:
    orientation: rows
    social: menu
    source_code: embed
    vertical_layout: scroll
    theme: united
---

```{r setup, include=FALSE}
library(flexdashboard)
library(tidyverse)
library(here)
library(janitor)
library(rio)
library(colorblindr)
library(gghighlight)
library(forcats)
library(ggrepel)
library(gt)
library(knitr)
library(kableExtra)
library(reactable)
library(plotly)
library(glue)
library(fs)
library(rstatix)
library(ggpubr)
library(writexl)
library(remotes)

theme_set(theme_minimal(15) +
            theme(legend.position = "bottom",
                  panel.grid.major.x = element_line(color = "gray60"),
                  panel.grid.minor.x = element_blank(),
                  panel.grid.major.y = element_blank())
          )
```

```{r, include=FALSE}
#all clean sims data
sims_concussion_data <- read_csv(here("data", "sims_concussion_data.csv"))

str(sims_concussion_data)

#impact data only

one_impact_test <- read_csv(here("data", "one_post_injury_impact_test.csv"))

str(one_impact_test)

two_impact_test <- read_csv(here("data", "two_post_injury_impact_test.csv"))

three_impact_test <- read_csv(here("data", "three_post_injury_impact_test.csv"))

four_impact_test <- read_csv(here("data", "four_post_injury_impact_test.csv"))

# impact sims merge data

one_impact_sims <- read_csv(here("data", "one_post_injury_test_impact_sims_merge.csv"))

str(one_impact_sims)

two_impact_sims <- read_csv(here("data", "two_post_injury_test_impact_sims_merge.csv"))

three_impact_sims <- read_csv(here("data", "three_post_injury_test_impact_sims_merge.csv"))

four_impact_sims <- read_csv(here("data", "four_post_injury_test_impact_sims_merge.csv"))
```

```{r, include=FALSE}
#helpful functions 

mean_2 <- function(x) {
  z <- na.omit(x)
  sum(z) / length(z)
}

my_mean <- function(x) {
  mean(x[x >= 0], na.rm = TRUE)
}

create_react_time <- function(df, var) {
    df %>% 
      summarize(Mean = mean({{var}}),
                SD = sd({{var}}),
                Min = min({{var}}),
                Max = max({{var}}),
                Total = length({{var}})) %>% 
      mutate_if(is.numeric, round, 2) %>% 
      reactable(columns = list(
        Mean = colDef(format = colFormat(separators = TRUE, suffix = " days")),
        SD = colDef(format = colFormat(separators = TRUE, suffix = " days")),
        Min = colDef(format = colFormat(separators = TRUE, suffix = " days")),
        Max = colDef(format = colFormat(separators = TRUE, suffix = " days")),
        Total = colDef(format = colFormat(separators = TRUE, suffix = " concussions"))
      ))
}

create_react <- function(df, var) {
    df %>% 
      summarize(Mean = mean({{var}}),
                SD = sd({{var}}),
                Min = min({{var}}),
                Max = max({{var}}),
                Total = length({{var}})) %>% 
      mutate_if(is.numeric, round, 2) %>% 
      reactable(columns = list(
        Mean = colDef(format = colFormat(separators = TRUE)),
        SD = colDef(format = colFormat(separators = TRUE)),
        Min = colDef(format = colFormat(separators = TRUE)),
        Max = colDef(format = colFormat(separators = TRUE)),
        Total = colDef(format = colFormat(separators = TRUE, suffix = " concussions"))
      ))
}

```


Column {data-width=650}
-----------------------------------------------------------------------

### Chart A

```{r}

```

Column {data-width=350}
-----------------------------------------------------------------------

### Chart B

```{r}

```

### Chart C

```{r}

```